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Update: zh/policy-ntia-rfc.md #1276

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update soc3-zn
innovation64 Apr 18, 2023
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zhongdongy Apr 19, 2023
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Update _blog.yml
zhongdongy Apr 19, 2023
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Update: resolve conflicts
zhongdongy Apr 19, 2023
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Update: proofreading zh/ethics-soc-3.md
zhongdongy Apr 19, 2023
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add how-to-generate cn version
yao-matrix Apr 20, 2023
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unity game in hf space translation completed
SuSung-boy Apr 22, 2023
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zhongdongy Apr 23, 2023
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zhongdongy Apr 23, 2023
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zhongdongy Apr 23, 2023
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yao-matrix Apr 23, 2023
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zhongdongy Apr 25, 2023
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zhongdongy Apr 25, 2023
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zhongdongy Apr 27, 2023
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zhongdongy Apr 27, 2023
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chenglu Apr 27, 2023
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Update: add red-teaming to zh/_blog.yml
zhongdongy Apr 27, 2023
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zhongdongy Apr 27, 2023
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zhongdongy Apr 28, 2023
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zhongdongy Apr 28, 2023
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SuSung-boy May 1, 2023
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zhongdongy May 4, 2023
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zhongdongy May 4, 2023
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if blog translation completed
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yaoqih May 4, 2023
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Merge pull request #4 from SuSung-boy/main
yaoqih May 4, 2023
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deep-learning-with-proteins cn done
yao-matrix May 1, 2023
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yao-matrix May 8, 2023
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zhongdongy May 8, 2023
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Merge branch 'main' of https://github.com/huggingface-cn/hf-blog-tran…
zhongdongy May 8, 2023
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add starcoder cn
yao-matrix May 8, 2023
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Merge pull request #7 from yao-matrix/main
zhongdongy May 8, 2023
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Merge branch 'main' of https://github.com/huggingface/blog
zhongdongy May 9, 2023
8c95827
Update: proofreading zh/unity-in-spaces.md
zhongdongy May 9, 2023
9536776
fix(annotated-diffusion.md): fix image shape desc in PIL and Tensor (…
csl122 May 8, 2023
d1fad90
Add text-to-video blog (#1058)
alaradirik May 8, 2023
ac63c3f
Fix broken link in text-to-video.md (#1083)
alaradirik May 8, 2023
f87d10c
Update: proofreading zh/unity-in-spaces.md
zhongdongy May 9, 2023
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zhongdongy May 9, 2023
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zhongdongy May 10, 2023
4f102c3
Update: proofreading zh/deep-learning-with-proteins.md
zhongdongy May 10, 2023
79ad515
update ethics-diffusers-cn (#6)
innovation64 May 11, 2023
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zhongdongy May 11, 2023
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Update: proofreading zh/ethics-diffusers.md
zhongdongy May 11, 2023
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zhongdongy May 15, 2023
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1. introducing-csearch done (#11)
yao-matrix May 15, 2023
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Update: proofread zh/text-to-video.md
zhongdongy May 15, 2023
cd6f1fc
Update: proofreading zh/introducing-csearch.md
zhongdongy May 16, 2023
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zhongdongy May 16, 2023
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Merge branch 'main' of https://github.com/huggingface/blog
zhongdongy May 23, 2023
a045242
generative-ai-models-on-intel-cpu cn done (#13)
yao-matrix May 23, 2023
2a2e42f
add starchat-alpha zh translation (#10)
Hoi2022 May 24, 2023
93566ec
Preparing blogpost annoucing `safetensors` security audit + official …
Narsil May 23, 2023
d54df9c
Hotfixing safetensors. (#1131)
Narsil May 23, 2023
f86c884
Removing the checklist formatting is busted. (#1132)
Narsil May 23, 2023
8aba9b1
Update safetensors-security-audit.md (#1134)
gary149 May 23, 2023
c059b4f
[time series transformers] update dataloader API (#1135)
kashif May 23, 2023
ac2f600
New post: Hugging Face and IBM (#1130)
juliensimon May 23, 2023
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Show authors of safetensors blog post (#1137)
osanseviero May 23, 2023
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zhongdongy May 24, 2023
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zhongdongy May 25, 2023
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add megatron-training & assisted-generation (#8)
gxy-gxy May 25, 2023
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Update: proofreading zh/assisted-generation
zhongdongy May 25, 2023
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zhongdongy May 29, 2023
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Merge branch 'main' of https://github.com/huggingface/blog
zhongdongy May 29, 2023
fb7a8bd
rwkv model blog translation completed (#12)
SuSung-boy May 30, 2023
e3012fb
Update: proofread zh/rwkv.md
zhongdongy May 30, 2023
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zhongdongy May 30, 2023
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zhongdongy May 30, 2023
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zhongdongy May 30, 2023
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encoder-decoder cn done (#14)
yao-matrix May 31, 2023
e65d320
Update: proofread zh/encoder-decoder.md
zhongdongy May 31, 2023
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zhongdongy May 31, 2023
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zhongdongy Jun 5, 2023
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zhongdongy Jun 7, 2023
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yao-matrix Jun 7, 2023
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Update: zh/unity-api.md + zh/unity-asr.md
SuSung-boy Jun 8, 2023
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zhongdongy Jun 8, 2023
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zhongdongy Jun 19, 2023
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instruction-tuning-sd cn done (#21)
yao-matrix Jun 19, 2023
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zhongdongy Jun 20, 2023
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Update: zh/instruction-tuning-sd.md
zhongdongy Jun 20, 2023
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fine-tune-whisper cn done (#23)
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innovation64 Jun 28, 2023
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17 changes: 17 additions & 0 deletions zh/_blog.yml
Original file line number Diff line number Diff line change
Expand Up @@ -616,3 +616,20 @@
- community
- research

- local: mms_adapters
title: "微调用于多语言 ASR 的 MMS 适配器模型"
author: patrickvonplaten
thumbnail: /blog/assets/151_mms/mms_map.png
date: June 19, 2023
tags:
- audio
- research

# - local: policy-ntia-rfc
# title: "人工智能政策@🤗:回应美国国家电信和信息管理局( NTIA )关于人工智能问责制的评论请求"
# author: yjernite
# thumbnail: /blog/assets/151_policy_ntia_rfc/us_policy_thumbnail.png
# date: June 20, 2023
# tags:
# - community
# - ethics
29 changes: 29 additions & 0 deletions zh/_policy-ntia-rfc.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
---
title: "人工智能政策@🤗:回应美国国家电信和信息管理局( NTIA )关于人工智能问责制的评论请求"
thumbnail: /blog/assets/151_policy_ntia_rfc/us_policy_thumbnail.png
authors:
- user: yjernite
- user: meg
- user: irenesolaiman
translators:
- user: innovation64
- user: zhongdongy
proofreader: true
---

<h1> 人工智能政策@🤗: 回应美国国家电信和信息管理局 (NTIA) 关于人工智能问责制的评论请求 </h1>

6 月 12 日,Hugging Face 向美国国家电信和信息管理局 NTIA 提交了一份关于 AI 责任政策的信息请求回应。在我们的回应中,我们强调了文档和透明度规范在推动 AI 责任过程中的作用,以及依赖此技术众多利益相关者的全面专业知识、观点和技能来应对这项技术前所未有的增长带来的任何单一实体都无法回答的更多问题之必要性。

Hugging Face 的使命是 [“民主化优秀的机器学习”](https://huggingface.co/about)。我们理解这个语境中的“民主化”一词意味着使机器学习系统不仅更容易开发和部署,而且更容易让其众多利益相关者理解、质询和批判。为此,我们通过 [强化教育](https://huggingface.co/learn/nlp-course/chapter1/1)、[重视文档](https://huggingface.co/docs/hub/model-cards)、[社区指南](https://huggingface.co/blog/content-guidelines-update) 和 [负责任开放](https://huggingface.co/blog/ethics-soc-3) 的方法来促进透明度和包容性,以及开发无代码和低代码工具,让所有技术背景水平的人都能分析 [ML 数据集](https://huggingface.co/spaces/huggingface/data-measurements-tool) 和 [模型](https://huggingface.co/spaces/society-ethics/StableBias)。我们相信这有助于所有感兴趣的人更好地理解 [ML 系统的局限性](https://huggingface.co/blog/ethics-soc-2),以及如何安全地利用它们为用户和受这些系统影响的人提供最佳服务。这些方法已经证明了它们在促进责任方面的效用,特别是在我们帮助组织的更大型多学科研究项目中,包括 [BigScience](https://huggingface.co/bigscience) (请参阅我们关于该项目社会利益的博客系列 [社会背景下的 LLM 研究](https://montrealethics.ai/category/columns/social-context-in-llm-research/)),以及最近的 [BigCode 项目](https://huggingface.co/bigcode) (其治理方式 [在此处详细描述](https://huggingface.co/datasets/bigcode/governance-card))。

具体而言,我们对责任机制提出以下建议:

- 责任机制应该 **关注 ML 开发过程的所有阶段**。一个完整的 AI 启用系统的社会影响取决于开发每个阶段所做出的选择,这些选择是无法完全预测的,只关注部署阶段的评估可能会激励表面层次上遵守规定,但未能解决更深层次的问题,直到它们造成重大损害。
- 责任机制应该 **将内部要求与外部访问结合起来**并保持透明。内部要求如良好文档实践塑造更负责任的开发过程,并为开发人员在启用更安全、更可靠技术方面承担责任提供清晰度。外部访问内部流程和开发选择仍然是必要的,以验证声明和文档,并授权技术的众多利益相关者,他们处于开发链之外,有能力真正塑造技术的演变并促进其获益。
- 责任机制应该 **邀请尽可能广泛的贡献者参与**,包括直接开发技术的开发人员、多学科研究社区、倡导组织、政策制定者和记者。理解 ML 技术快速增长采用的变革性影响是超出任何单个实体能力的任务,将需要利用我们广泛研究社区和其直接用户及受影响人群的全部技能和专业知识。

我们相信,优先考虑机器学习组件本身和评估结果的透明度对于实现这些目标至关重要。你可以在 <a href="/blog/assets/151_policy_ntia_rfc/HF_NTIA_RFC.pdf"> 这里 </a> 找到我们更详细的回应。

<!-- {blog_metadata} -->
<!-- {authors} -->
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